基于改进粒子滤波算法的动力锂离子电池荷电状态估计

传统电池荷电状态(SOC)估计中常用的扩展卡尔曼滤波(EKF)和无迹卡尔曼滤波(UKF)方法仅适用于线性系统和高斯条件,虽然粒子滤波(PF)算法能用于非线性和非高斯系统,但PF算法在滤波更新时存在粒子退化现象,使粒子集无法表示实际后验概率分布,导致估计精度降低.采用改进的扩展粒子滤波(EPF)和无迹粒子滤波(UPF)算法对电池SOC进行估计,抑制了粒子权重退化.以Thevenin模型对电池进行建模,利用带遗忘因子的最小二乘方法进行模型参数辨识,结合改进后的滤波算法对电池SOC进行估计.实验结果表明,以UKF为建议密度函数进行重采样的UPF方法平均估计误差为0.71%,低于以EKF为建议密度函数的EPF方法平均误差(1.09%),两种方法的估计误差均小于PF估计误差(1.36%),有效抑制了粒子权重退化.     

基于精英反向学习的烟花爆炸式免疫遗传算法

针对移动机器人的路径规划中存在的避障和路径搜索等问题,文章提出了一种基于精英反向学习(elite opposition-based learning, EOBL)的烟花爆炸式免疫遗传算法(fireworks explosive immune genetic algorithm, FEIGA)。在FEIGA算法的基础上,引入EOBL机制扩大全局搜索,即在进行爆炸操作时,对当前最佳个体执行反向学习,生成其搜索边界内的反向搜索种群,引导算法向包含全局最优的解空间逼近,以提高算法的平衡和探索能力。函数优化结果表明,与其他算法相比,EOBL_-FEIGA收敛速度更快,搜索精度更高,有效地解决了免疫遗传算法(immune genetic algorithm,IGA)存在的局部搜索能力弱、易早熟收敛的问题,克服了FEIGA算法易陷入局部最优解的不足。路径规划结果表明,在不同的复杂环境下,EOBL_-FEIGA能实现机器人的最优路径搜索和避障,有较强的搜索能力和鲁棒性。     

氘化物阴极真空弧放电光斑分布

氘化物真空弧放电在许多领域均有应用,如无损检测、石油探井、中子活化分析等。和金属阴极不同,氘化物阴极放电时会释放大量的气体分子,表现出许多不同性质。采用放大镜头和ICCD相机观察了氘化物阴极真空弧放电光斑分布。测量系统的空间分辨率约为5 μm,时间分辨率最小2 ns。放电脉冲半高全宽（FWHM）0.9 μs,弧流波形为半周期正弦波。实验结果表明,氘化物真空弧放电时,所有阴极斑聚集为一个群落,表现为一个大光斑;在液滴作用下,阴极斑群落偶尔也会分裂为两个或多个群落;光斑形状不受弧流影响,但面积和亮度会随弧流增加而增大。氘化物阴极放电斑点聚集有利于产生高密度等离子体,提高放电效率。     

双极性固态直线变压器驱动器的研制

在针对脉冲电磁场肿瘤消融的应用场合,双极性脉冲比单极性脉冲效果更均匀,而要产生ns级前沿的双极性高压纳秒或亚微秒脉冲难度大,电磁干扰强,控制要求更高。设计了一台双极性全固态直线型变压器驱动源(SSLTD),双极性SSLTD由结构完全相同的LTD模块经过副边绕组反向串联构成,在负载上实现双极性窄脉冲。双极性SSLTD输出波形稳定的脉冲的关键在于磁芯复位,通过电阻负载实验,重点对比分析了复位电流的形式对复位效果的影响,以及采用直流复位时幅值、脉宽、正负脉冲时间间隔、单级模块中开关管并联数量、复位电流大小对双极性SSLTD输出的影响。实验结果表明,所设计的双极性SSLTD能够在500 Ω负载上稳定产生重频双极性纳秒脉冲,输出电压0～±5 kV可调,脉宽200～400 ns可调,正负脉冲时间间隔0～1 ms可调,上升沿和下降沿20～50 ns;反向串联的直流复位电路结构简单、复位效果好。该脉冲源使用模块化设计,结构紧凑,电气绝缘要求较低,可灵活输出双极性、正极性与负极性高压亚微秒脉冲。     

Effective suppression of beta oscillation in Parkinsonian state via a noisy direct delayed feedback control scheme

This work explores the function of the noisy direct delayed feedback(NDDF)control strategy in suppressing the pathological oscillations in the basal ganglia(BG)with Parkinson’s disease(PD).Deep brain stimulation(DBS)alleviates the PD state fantastically.However,due to its unclear mechanism and open-loop characteristic,it is challenging to further improve its effects with lower energy expenditure.The noise stimulus performs competitively in alleviating the PD state theoretically,but it cannot adapt to the neural condition timely and automatically due to its open-loop control scheme.The direct delayed feedback(DDF)control strategy is able to disturb excessive synchronous effectively.Therefore,the NDDF control strategy is proposed and researched based on a BG computational model,which can reflect the intrinsic properties of the BG neurons and their connections with thalamic neurons.Simulation results show that the NDDF control strategy with optimal parameters is effective in removing the pathological beta oscillations.By comparison,we find the NDDF control strategy performs more excellent than DDF in alleviating PD state.Additionally,we define the multiple-NDDF control strategy and find that the multiple-NDDF with appropriate parameters performs better than NDDF.The obtained results contribute to the cure for PD symptoms by optimizing the noise-induced improvement of the BG dysfunction.     

Metabolomics reveals hippocampal metabolic fluctuations of postoperative fatigue syndrome and anti‐fatigue effect of Carthamus tinctorius L. extract in rat model

Postoperative fatigue syndrome (POFS) is a common clinical complication following almost every major abdominal surgery. There is not a full explanation of the etiology of POFS, especially its central mechanism. Carthamus tinctorius L. is a classic traditional Chinese medicine (TCM) which could exert ananti‐fatigue effect on POFS. However, its mechanism is still lacking. Here, ultra‐high performance liquid chromatography coupled with a quadrupole time‐of‐flight mass spectrometry (UHPLC‐Q‐TOFMS) based metabonomic approach was used to characterize hippocampal metabolic fluctuations of POFS in a rat model induced by partial hepatectomy, and to evaluate the anti‐fatigue effect of C. tinctorius L. extract (CTLE). With partial least‐squares discriminant analysis for classification and selection of biomarkers, 15 hippocampal metabolites related to POFS were identified, primarily involving alanine, aspartate and glutamate metabolism, valine, leucine and isoleucine degradation, purine metabolism, phenylalanine metabolism, tryptophan metabolism, phospholipid metabolism and fatty acid metabolism. With these altered metabolic pathways as possible drug targets, we systematically analyzed the protective effect of CTLE, which showed that CTLE could provide an anti‐fatigue effect on POFS through partially regulating the perturbed metabolic pathways. This study indicated that UHPLC‐Q‐TOFMS‐based metabolomics provided a powerful tool to reveal hippocampal metabolic fluctuations of POFS and study the mechanism of TCM. Copyright © 2015 John Wiley & Sons, Ltd.     

Hexacyanoferrate‐based ionic liquids as Fenton‐like catalysts for deep oxidative desulfurization of fuels

Two hexacyanoferrate‐based ionic liquids, [C₄Py]₃Fe(CN)₆ and [C₁₆Py]₃Fe(CN)₆, were synthesized and characterized using Fourier transform infrared and mass spectroscopies and CHN analysis. They were employed as Fenton‐like catalysts in extraction and catalytic oxidative desulfurization of model oil with dibenzothiophene (DBT), benzothiophene (BT), 4,6‐dimethyldibenzothiophene (4,6‐DMDBT), 4‐methyldibenzothiophene (4‐MDBT) and 3‐methylbenzothiophene (3‐MBT) as substrates. Various polar solvents, such as ionic liquids, water and organic solvents, were applied to choose a suitable extractant. The results showed the removal of DBT reached 97.1% with [C₄Py]₃Fe(CN)₆ as a catalyst and 1‐n‐octyl‐3‐methylimidazolium hexafluorophosphate ([C₈mim]PF₆) as an extractant under optimal conditions. The activity of sulfur removal followed the order DBT > 3‐MBT > BT > 4‐MDBT >4,6‐DMDBT. The effect of water content on sulfur removal was investigated by adding various concentrations of H₂O₂. It was found that excess water had a positive effect on sulfur removal but the catalysts were less sensitive than [FeCl₄^?]‐based catalysts to water. The mechanism was studied using electron spin‐resonance spectroscopy and gas chromatography–mass spectrometry. O₂^?? may be the active oxygen species in the catalytic oxidative desulfurization process and the oxidation products of various sulfur compounds were the corresponding sulfoxides and sulfones. Copyright © 2016 John Wiley & Sons, Ltd.     

Effect of Bi promoter on the performances of selective oxidation of isobutane to methacrolein over MoVO/AlPO4 catalysts

The effects of Bi on the catalytic performance of selective oxidation of isobutane to methacrolein over MoVO/AlPO4 catalyst were investigated by XRD, FT-Raman, XPS, UV-vis DRS techniques. The results show that the addition of Bi component into the MoVO/AlPO4 catalyst obviously improves the catalytic performance, and the selectivity to methacrolein can increase from 14.2% to 45.1% with the increase of Bi/V molar ratio from 0 to 1. Combining the characterization results with the reaction evaluation, it is concluded that the catalytic activities of the MoV0.3Bix/AlPO4 catalysts are related to the crystalline phase composition and the dispersion of molybdenum and vanadium oxides species in general, and also to the V5+/V4+ molar ratio on the surface in particular.     

An introduction to molecular spintronics

We review the progress and future possibilities in the emerging area of molecular spintronics. We first provide an overview of the different transport regimes in which electronic nanodevices can operate, then briefly overview the important characteristics of molecular magnetic materials that can be useful for application in spintronics and we eventually present several schemes to include such systems into spintronic nanodevices. We hightlight the importance of a chemical approach to the area, and in the last section we showcase some approaches to the creation of hybrids made of carbon nanostructures and molecular magnets, which are gaining increasing attention.     

Fringe pattern analysis by S-transform

S-transform proposed in 1996 by Stockwell R.G is a simple and popular technique for the time–frequency analysis. It has been introduced in optical three-dimensional shape measurement, recently. In this paper, a study about applications of S-transform in the demodulation of deformed fringe patterns is performed. We focus on discussing not only the S-transform spectrum filtering technique, the S-transform ridge technique and the phase gradient calculation method based on S-transform used in fringe pattern demodulation, but also the phase unwrapping technique. In addition, a generalized S-transform was introduced to analyze fringe patterns, which is helpful to improve the measurement accuracy and flexibility of the method based on S-transform. The reconstruction results based on S-transform were compared with that on wavelet transform and windowed Fourier transform in fringe analysis.